Automatic Fish Tracking by Kalman filter
Article Sidebar
-
Background Subtraction, labelling, tracking, Kalman filter.
Abstract
One of the phases of research is the computer vision for automatic tracking and acquisition of knowledge about the migratory behavior of fish. For that purpose, some fishes are marked, then introduced into an experimental medium. Thus, throughout all observations, a big video database of sequences is collected the background subtraction method is used to detect the fish then we apply the labelling of connected components for extracting all information about fishes. The tracking of fish will be obtained by Kalman filtering.
Full text article
Authors
This work is licensed under a Creative Commons Attribution 4.0 International License.
In a brief statement, the rights relate to the publication and distribution of research published in the journal of the University of Sebha where authors who have published their articles in the journal of the university of Sebha should how they can use or distribute their articles. They reserve all their rights to the published works, such as (but not limited to) the following rights:
- Copyright and other property rights related to the article, such as patent rights.
- Research published in the journal of the University of Sebha and used in its future works, including lectures and books, the right to reproduce articles for their own purposes, and the right to self-archive their articles.
- The right to enter a separate article, or for a non-exclusive distribution of their article with an acknowledgment of its initial publication in the journal of Sebha University.
Privacy Statement The names and e-mail addresses entered on the Sabha University Journal site will be used for the aforementioned purposes only and for which they were used.
